30. Passage of particles through matter 1 - Particle Data Group
30. Passage of particles through matter 1 - Particle Data Group
30. Passage of particles through matter 1 - Particle Data Group
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<strong>30.</strong> <strong>Passage</strong> <strong>of</strong> <strong>particles</strong> <strong>through</strong> <strong>matter</strong> 17<br />
x/2<br />
x<br />
s plane<br />
Ψ plane<br />
y plane<br />
θ plane<br />
Figure <strong>30.</strong>10: Quantities used to describe multiple Coulomb scattering.<br />
The particle is incident in the plane <strong>of</strong> the figure.<br />
The nonprojected (space) and projected (plane) angular distributions are given<br />
approximately by [35]<br />
1<br />
⎧<br />
exp ⎪⎩− θ2 ⎫<br />
space<br />
⎪⎭dΩ , (<strong>30.</strong>16)<br />
2π θ 2 0<br />
1<br />
√ 2π θ0<br />
exp<br />
⎧<br />
2θ 2 0<br />
⎪⎩− θ2 plane<br />
2θ 2 0<br />
⎫<br />
⎪⎭dθplane , (<strong>30.</strong>17)<br />
where θ is the deflection angle. In this approximation, θ 2 space ≈ (θ 2 plane,x + θ2 plane,y ),<br />
where the x and y axes are orthogonal to the direction <strong>of</strong> motion, and<br />
dΩ ≈ dθplane,x dθplane,y. Deflections into θplane,x and θplane,y are independent and<br />
identically distributed.<br />
Fig. <strong>30.</strong>10 shows these and other quantities sometimes used to describe multiple<br />
Coulomb scattering. They are<br />
ψ rms 1<br />
plane = √ θ<br />
3 rms<br />
plane<br />
y rms 1<br />
plane = √ xθ<br />
3 rms<br />
plane<br />
= 1<br />
√ 3 θ0 , (<strong>30.</strong>18)<br />
= 1<br />
√ 3 xθ0 , (<strong>30.</strong>19)<br />
s rms 1<br />
plane =<br />
4 √ rms 1<br />
xθ plane =<br />
3 4 √ 3 xθ0 . (<strong>30.</strong>20)<br />
All the quantitative estimates in this section apply only in the limit <strong>of</strong> small<br />
θ rms<br />
plane and in the absence <strong>of</strong> large-angle scatters. The random variables s, ψ, y, and<br />
θ in a given plane are correlated. Obviously, y ≈ xψ. In addition, y and θ have the<br />
correlation coefficient ρyθ = √ 3/2 ≈ 0.87. For Monte Carlo generation <strong>of</strong> a joint<br />
(y plane,θplane) distribution, or for other calculations, it may be most convenient<br />
to work with independent Gaussian random variables (z1,z2) with mean zero and<br />
variance one, and then set<br />
yplane =z1 xθ0(1 − ρ 2 yθ )1/2 / √ 3 + z2 ρyθxθ0/ √ 3 (<strong>30.</strong>21)<br />
June 18, 2012 16:19